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Transforming loop chains via macro dataflow graphs., , and . CGO, page 265-277. ACM, (2018)Non-affine Extensions to Polyhedral Code Generation., , , and . CGO, page 185. ACM, (2014)Analyzing Parallel Programming Models for Magnetic Resonance Imaging., , , and . LCPC, volume 10136 of Lecture Notes in Computer Science, page 188-202. Springer, (2016)Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation., , , and . Optim. Methods Softw., 33 (4-6): 672-693 (2018)The Sparse Polyhedral Framework: Composing Compiler-Generated Inspector-Executor Code., , and . Proc. IEEE, 106 (11): 1921-1934 (2018)HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations., , , , and . IPDPS, page 1217-1227. IEEE, (2022)Sympiler: transforming sparse matrix codes by decoupling symbolic analysis., , , and . SC, page 13. ACM, (2017)Performance Evaluation of an Irregular Application Parallelized in Java., and . ICPP Workshops, page 227-235. IEEE Computer Society, (2010)Schedule-Independent Storage Mapping for Loops., , , and . ASPLOS, page 24-33. ACM Press, (1998)Loop Chaining: A Programming Abstraction for Balancing Locality and Parallelism., , , , , , , , , and 1 other author(s). IPDPS Workshops, page 375-384. IEEE, (2013)